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Job Description
Associate Software Engineer - Python/AI/ML Overview Responsibilities and expectations for an Associate Software Engineer specializing in Python, AI, and ML include:
Application & Model Development: Design, develop, and deploy Python-based applications and AI/ML models.
Data Handling: Collect, clean, and preprocess structured and unstructured data for model training.
Model Training & Evaluation: Implement machine learning and deep learning algorithms; evaluate performance using appropriate metrics.
API Integration: Create and integrate APIs for serving ML models into applications or web services.
Research & Innovation: Stay updated with AI/ML trends, frameworks (TensorFlow, PyTorch, Scikit-learn), and improve model efficiency.
Automation & Scripting: Develop automation scripts and data pipelines to support AI workflows.
Collaboration: Work with data engineers, developers, and product teams for end-to-end solution delivery.
Version Control & Documentation: Maintain clean code, version control (Git), and project documentation.
Testing & Deployment: Test models, deploy to production, and monitor performance using cloud or on-prem setups.
Continuous Learning: Explore emerging AI/ML technologies and contribute to innovation projects.
Qualifications
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, or a related field.
Develop Python-based AI/ML apps & models
Preprocess & analyze data
Train, test, and evaluate models
Build & integrate APIs for ML services
Use TensorFlow, PyTorch, Scikit-learn
Create automation scripts & data pipelines
Collaborate across teams for deployment
Maintain code, versioning, and documentation
Deploy & monitor ML solutions
Keep learning new AI/ML tools & methods
Employment details
Employment type: Full-time
Job function: Other
Industries: IT Services and IT Consulting
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Note: This description reflects a subset of the typical activities and responsibilities and is not exhaustive.
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